Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, Helle Collatz Christensen, Christian Torp-Pedersen, Michael R. Sayre, Catherine R. Counts, Freddy K. Lippert

Emergency Medical Services
University of Copenhagen
Copenhagen University Hospital
Aalborg University
University of Washington
Aalborg University Hospital

Research output: Contribution to journal › Comment/debate › Research › peer-review

1 Journal article

1 results

2019
Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Blomberg, S. N., Folke, F., Ersbøll, A. K., Christensen, H. C., Torp-Pedersen, C., Sayre, M. R., Counts, C. R. & Lippert, F. K., May 2019, In: Resuscitation. 138, p. 322-329
Research output: Contribution to journal › Journal article › Research › peer-review

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Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

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Machine learning as a supportive tool to recognize cardiac arrest in emergency calls